Enterprise Credit Rating Based on Genetic Neural Network

The genetic BP algorithm is used to modify and optimize the connection weights and thresholds of the neural network, which solves the problem that BP neural network has slow convergence speed and may fall into local minimum to a certain extent. The accuracy of rating indicates that the genetic neura...

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Bibliographic Details
Published inMATEC Web of Conferences Vol. 227; p. 2011
Main Author Du, Yulin
Format Journal Article Conference Proceeding
LanguageEnglish
Published Les Ulis EDP Sciences 01.01.2018
Subjects
Algorithms
Credit ratings
Neural networks
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Summary:The genetic BP algorithm is used to modify and optimize the connection weights and thresholds of the neural network, which solves the problem that BP neural network has slow convergence speed and may fall into local minimum to a certain extent. The accuracy of rating indicates that the genetic neural network method is very suitable for enterprise credit rating.
ISSN:2261-236X
2274-7214
2261-236X
DOI:10.1051/matecconf/201822702011